| from huggingface_hub import HfApi | |
| from pathlib import Path | |
| # Define the parameters for uploading | |
| repo_id = "DBMe/Mistral-Large-Instruct-2407-2.85bpw-h6-exl2" # Replace with your actual repo ID | |
| folder_path = "/home/asusws-x570-ace/programs/tabbyAPI-new/models/Mistral-Large-Instruct-2407_exl2_2.85bpw/" # Replace with your folder path | |
| repo_type = "model" # Change to "model" or "space" if applicable | |
| revision = "main" # Optional: specify the branch or use "main" | |
| private = False # Set to True if the repository should be private | |
| allow_patterns = None # Optional: specify patterns of files to include | |
| ignore_patterns = None # Optional: specify patterns of files to exclude | |
| num_workers = 4 # Set based on your system; lower if your internet is unstable | |
| print_report = True # Enable progress reporting | |
| print_report_every = 60 # Report frequency in seconds | |
| # Initialize the Hugging Face API client | |
| api = HfApi() | |
| # Function to upload the folder in a resumable manner | |
| def upload_resumable(): | |
| try: | |
| print("Starting upload process...") | |
| # Perform the upload with the provided parameters | |
| api.upload_large_folder( | |
| repo_id=repo_id, | |
| folder_path=Path(folder_path), | |
| repo_type=repo_type, | |
| revision=revision, | |
| private=private, | |
| allow_patterns=allow_patterns, | |
| ignore_patterns=ignore_patterns, | |
| num_workers=num_workers, | |
| print_report=print_report, | |
| print_report_every=print_report_every, | |
| ) | |
| print("Upload completed successfully!") | |
| except Exception as e: | |
| print(f"Upload interrupted due to error: {e}") | |
| print("You can resume the upload by running the script again.") | |
| # Call the function to start the upload | |
| upload_resumable() | |